15
AOVG081502-1 Andrew Odlyzko Traffic Growth and Network Spending: What’s Ahead? [email protected] http:// www.dtc.umn.edu/ ~odlyzko

AOVG081502-1 Andrew Odlyzko Traffic Growth and Network Spending: What’s Ahead? [email protected] odlyzko

  • View
    213

  • Download
    0

Embed Size (px)

Citation preview

Page 1: AOVG081502-1 Andrew Odlyzko Traffic Growth and Network Spending: What’s Ahead? odlyzko@umn.edu odlyzko

AOVG081502-1

Andrew Odlyzko

Traffic Growth and Network Spending:What’s Ahead?

[email protected]

http://www.dtc.umn.edu/~odlyzko

Page 2: AOVG081502-1 Andrew Odlyzko Traffic Growth and Network Spending: What’s Ahead? odlyzko@umn.edu odlyzko

AOVG081502-2

Growth and Spending:

• Internet traffic continues to about double each year (growth of 70-150% per year) as it has ever since 1997.

• Revenues: undermined by overcapacity

• Costs continue moving to the edges – backbone transport a commodity

• Budgets increasingly dominated by personnel costs

Page 3: AOVG081502-1 Andrew Odlyzko Traffic Growth and Network Spending: What’s Ahead? odlyzko@umn.edu odlyzko

AOVG081502-3

For each year, shows estimated traffic in terabytes during December of that year.

199019911992199319941995199619971998199920002001

1.02.04.48.3

16.3?

1,5002,500 - 4,0005,000 - 8,000

10,000 - 16,00020,000 - 35,00040,000 - 70,000

Year TB/month

Traffic on Internet backbones in U.S.

Page 4: AOVG081502-1 Andrew Odlyzko Traffic Growth and Network Spending: What’s Ahead? odlyzko@umn.edu odlyzko

AOVG081502-4

Usual pattern of large, well-connectedinstitutions: approximate doubling of trafficeach year

Note: Some large institutions report growth rates of30-40% per year, the historical pre-Internet data trafficgrowth rate

“Moore’s Law” for data traffic:

Page 5: AOVG081502-1 Andrew Odlyzko Traffic Growth and Network Spending: What’s Ahead? odlyzko@umn.edu odlyzko

AOVG081502-5

SWITCH traffic and capacity across the Atlantic

Page 6: AOVG081502-1 Andrew Odlyzko Traffic Growth and Network Spending: What’s Ahead? odlyzko@umn.edu odlyzko

AOVG081502-6

GB/day

1

10

100

1,000

1992

1993

1994

1995

1996

1997

1998

1999

2000

Traffic between the University of Minnesota and the Internet

Page 7: AOVG081502-1 Andrew Odlyzko Traffic Growth and Network Spending: What’s Ahead? odlyzko@umn.edu odlyzko

AOVG081502-7

Typical enterprise traffic profile: Demolishes myth of insatiable demand for bandwidth and many (implicit) assumptions about nature of traffic

Page 8: AOVG081502-1 Andrew Odlyzko Traffic Growth and Network Spending: What’s Ahead? odlyzko@umn.edu odlyzko

AOVG081502-8

Streaming multimedia vs. file transfers

• Predicted long ago

• Confirmed by Napster, . . .

• Want high bandwidth for faster-than-real-time

File transfer for local storage and transfer to other devices

the most natural evolution

We all have residential broadband (using conventional

definition of broadband) courtesy of U.S. Postal Service!

Current Internet costs do not threaten Blockbuster

Page 9: AOVG081502-1 Andrew Odlyzko Traffic Growth and Network Spending: What’s Ahead? odlyzko@umn.edu odlyzko

AOVG081502-9

Multimedia file transfers a large portion of current traffic, streaming traffic in the noise

Internet traffic at the University of Wisconsin in Madison

Page 10: AOVG081502-1 Andrew Odlyzko Traffic Growth and Network Spending: What’s Ahead? odlyzko@umn.edu odlyzko

AOVG081502-10

Sources of traffic:

Current (October, 2002) traffic on U.S. backbones:

100,000 TB/month

Very generous upper bounds on residential traffic:

60 M dial subscribers at 100 MB/month:

6,000 TB/month

15 M broadband subscribers at 2,000 MB/month:

30,000 TB/month

Thus business use (including employee personal use) dominates

Page 11: AOVG081502-1 Andrew Odlyzko Traffic Growth and Network Spending: What’s Ahead? odlyzko@umn.edu odlyzko

AOVG081502-11

Distribution of Internet costs: almost all at edges

U.S. Internet connectivity market (excluding residential, web

hosting, . . . ) $15 billion/year

U.S. backbone traffic: 100,000 TB/month

Current transit costs (at OC3 bandwidth): $150/Mbps

Hence, if utilize purchased transit at 30% of capacity, cost for

total U.S. backbone traffic: $2 billion/year

Backbones are comparatively inexpensive and will stay that way!

Page 12: AOVG081502-1 Andrew Odlyzko Traffic Growth and Network Spending: What’s Ahead? odlyzko@umn.edu odlyzko

AOVG081502-12

Dominant source of innovation: Users

E-mail

WWW

Browser

Napster

The role of the Internet is to provide connectivity, not services!

Page 13: AOVG081502-1 Andrew Odlyzko Traffic Growth and Network Spending: What’s Ahead? odlyzko@umn.edu odlyzko

AOVG081502-13

The popularity of email was not foreseen by the ARPANET's planners. Roberts had not included electronic mail in the original blueprint for the network. In fact, in 1967 he had called the ability to send messages between users “not an important motivation for a network of scientific computers” . . . . Why then was the popularity of email such a surprise? One answer is that it represented a radical shift in the ARPANET's identity and purpose. The rationale for building the network had focused on providing access to computers rather than to people.

J. Abbate, Inventing the Internet

The Internet succeeded by accident. Email,its “killer app,” was not among the originaldesign criteria:

Page 14: AOVG081502-1 Andrew Odlyzko Traffic Growth and Network Spending: What’s Ahead? odlyzko@umn.edu odlyzko

AOVG081502-14

Internet bandwidth vs. potential fiber capacity

100,000 TB/month 300 Gbps

80–wavelength OC192 DWDM system 800 Gbps/fiber

Telegeography 2002: in mid-2002, highest capacity

Internet route (NYC – Washington): 140 Gbps

9/11 disaster reports: Verizon central office at 140 West Street

in NYC had capacity of 3.6 million VGE 200 Gbps

Page 15: AOVG081502-1 Andrew Odlyzko Traffic Growth and Network Spending: What’s Ahead? odlyzko@umn.edu odlyzko

AOVG081502-15

Conclusions:

The Internet is growing vigorously, but spending isn’t

Problem: Overinvestment stimulated by business plans based on unrealistic expectations.

Need new business models based on providing services at the edges.

More data, analysis, and speculations at:

<http://www.dtc.umn.edu/~odlyzko>